
Binary Search Algorithm Quiz
Interactive Video
•
Computers
•
9th - 10th Grade
•
Practice Problem
•
Hard
Jennifer Brown
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a prerequisite for performing a binary search on a dataset?
The dataset must be sorted.
The dataset must be in a tree structure.
The dataset must be in a graph format.
The dataset must be in a queue.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the pseudocode for binary search, what is the purpose of the 'found' variable?
To store the index of the found item.
To indicate whether the search item has been found.
To store the midpoint value.
To count the number of iterations.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the binary search algorithm do if the item at the midpoint is less than the item being searched for?
It restarts the search from the beginning.
It adjusts the 'first' variable to midpoint plus one.
It adjusts the 'last' variable to midpoint minus one.
It exits the loop.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the 'first' and 'last' variables in the binary search algorithm?
They count the number of iterations.
They track the current search range within the dataset.
They store the indices of the found items.
They store the values of the first and last items in the dataset.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Python implementation, what does the line 'midpoint = first + last // 2' achieve?
It initializes the search range.
It checks if the midpoint is the item being searched for.
It finds the midpoint index of the current search range.
It calculates the average of the first and last indices.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should you do if the binary search algorithm does not find the item in the dataset?
Increase the search range.
Conclude that the item is not in the dataset.
Restart the search from the beginning.
Switch to a linear search.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why might a binary search be more efficient than a linear search for large datasets?
It uses a more complex algorithm.
It checks every item in the dataset.
It requires less memory.
It discards half of the dataset in each iteration.
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